Instructions to use Uesing/custom-resnet50d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Uesing/custom-resnet50d with Transformers:
# Load model directly from transformers import ResnetModelForImageClassification model = ResnetModelForImageClassification.from_pretrained("Uesing/custom-resnet50d", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 384 Bytes
387fbb6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"architectures": [
"ResnetModelForImageClassification"
],
"avg_down": true,
"base_width": 64,
"block_type": "bottleneck",
"cardinality": 1,
"dtype": "float32",
"input_channels": 3,
"layers": [
3,
4,
6,
3
],
"model_type": "custom_resnet",
"num_classes": 1000,
"stem_type": "deep",
"stem_width": 32,
"transformers_version": "5.8.1"
}
|